Update app.py

app.py

@@ -1,4 +1,3 @@
-'''
 import subprocess
 subprocess.check_call(["pip", "install", "-q", "openai"])
 subprocess.check_call(["pip", "install", "-q", "gradio", "transformers", "python-dotenv"])
@@ -35,35 +34,4 @@ examples = [
 inputs = [gr.inputs.Textbox(label="Talk to ChatSherman: "), "state"]
 outputs = ["chatbot", "state"]
 interface = gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title=title, description=description, examples=examples)
-interface.launch(debug=True)
-'''
-python -m pip install --upgrade pip
-import subprocess
-subprocess.check_call(["pip", "install", "-q", "openai"])
-subprocess.check_call(["pip", "install", "-q", "gradio", "transformers", "python-dotenv"])
-import openai
-import gradio as gr
-
-openai.api_key = "OPENAI_API_KEY"  
-
-def predict(message, history):
-    history_openai_format = []
-    for human, assistant in history:
-        history_openai_format.append({"role": "user", "content": human })
-        history_openai_format.append({"role": "assistant", "content":assistant})
-    history_openai_format.append({"role": "user", "content": message})
-
-    response = openai.ChatCompletion.create(
-        model='gpt-3.5-turbo',
-        messages= history_openai_format,
-        temperature=1.0,
-        stream=True
-    )
-
-    partial_message = ""
-    for chunk in response:
-        if len(chunk['choices'][0]['delta']) != 0:
-            partial_message = partial_message + chunk['choices'][0]['delta']['content']
-            yield partial_message
-
-gr.ChatInterface(predict).queue().launch()
+interface.launch(debug=True)